Brenda Halpern (Fried) Email & Phone Number

New York, Ny, Us

- Spearheaded the development of an end-to-end pipeline for seamless integration of DeepHeme AI into the clinical workflow, enhancing diagnostic capabilities.- Transformed the MPath Heme portal from a prototype into a fully functional production platform, facilitating efficient data management and analysis.- Designed and implemented the Flow Cytometry portal, streamlining data access and analysis for the team.- Pioneered the creation of a templating service for automated reporting, leveraging FastAPI and TypeScript, resulting in significant time savings and improved reporting accuracy.- Successfully integrated Lab Medicine data into the portal by designing APIs and building a user-friendly interface, enhancing collaboration between departments.- Revamped and modernized NonNGS Webservices by migrating to Python 3, improving overall system performance and maintainability.

New York, Ny, Us

- Responsible for building the OWAL Portal, an internal communications platform for engineers to collaborate, share and access customer information using Vue.js for the frontend, PostgreSQL, Google API’s, and node.js for the backend. - Designed and wrote API’s in node.js for the backend system.- Built an onboarding tool to allow new customers to use the OWAL service by configuring their security cameras and creating alerts for buiding spaces.- Added features to the OWAL Web Application according to Clubhouse feature requests.- Fixed and resolved bugs in Clubhouse Bug Queue.

Redmond, Washington, Us

- Among 8 students selected out of 800+ applicants.- Created executable bash and R scripts to have reproducible code for extraction, wrangling, formatting, and producing consistent data frames using dplyr in R and the command line.- Assessed underlying patterns and trends from NYC’s Stop and Frisk data, and Police Public Contact Survey, using tidyverse and ggplot packages in R. - Visualized insights through scatter plots, bar plots, line plots and maps.- Explored racial disparities in police use of force by using the dplyr and modelR packages to implement multiple logistic regression models based on various covariates.- Presented Data Science Research Project to MSR researchers and university faculty members.

Brooklyn, New York, Us